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AI.NeuralNetworks
Class FeedForwardWeightedTrainingLayer  

java.lang.Object
  AI.NeuralNetworks.FeedForwardLayer
      AI.NeuralNetworks.FeedForwardWeightedLayer
          AI.NeuralNetworks.FeedForwardWeightedTrainingLayer

Direct Known Subclasses:

DistributedFeedForwardWeightedTrainingLayer

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public class FeedForwardWeightedTrainingLayer

extends FeedForwardWeightedLayer

This class is used to represent the inner and output layers of a multilayer feed forward neural network where the back error propabation algorithm is run

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Field Summary
(package private)  float[][]	deltaWeights
(package private)  float[]	error
(package private)  float[]	outputError

 

Fields inherited from class AI.NeuralNetworks.FeedForwardWeightedLayer

weights

 

Fields inherited from class AI.NeuralNetworks.FeedForwardLayer

activation

 

Constructor Summary

FeedForwardWeightedTrainingLayer(FeedForwardWeightedLayer layer)           Creates a new FeedForwardWeightedTrainingLayer instance form a FeedForwardWeightedLayer instance

 

Method Summary
void	addDeltaWeights(float learningRate)           Adds the deltaWeights to the weights
void	adjustDeltaWeights(FeedForwardLayer previousLayer, FeedForwardWeightedTrainingLayer nextLayer)           Calculates and adds the delta weights for this pattern
void	adjustDeltaWeights(float[] expectedOutput, FeedForwardLayer previousLayer)           Calculates and adds the delta weights for this pattern
float[]	getError()           returns the error of the layer
float[]	getOutputError()
void	resetDeltaWeights()           Sets the acumulated delta weights to 0
void	resetError()           Sets the error of all this layer to 0

 

Methods inherited from class AI.NeuralNetworks.FeedForwardWeightedLayer

getWeights, runLayer, sigmoid, toString

 

Methods inherited from class AI.NeuralNetworks.FeedForwardLayer

getActivation, size

 

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

 

Field Detail

deltaWeights

float[][] deltaWeights

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error

float[] error

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outputError

float[] outputError

Constructor Detail

FeedForwardWeightedTrainingLayer

public FeedForwardWeightedTrainingLayer(FeedForwardWeightedLayer layer)

Creates a new FeedForwardWeightedTrainingLayer instance form a FeedForwardWeightedLayer instance

Method Detail

resetDeltaWeights

public void resetDeltaWeights()

Sets the acumulated delta weights to 0

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adjustDeltaWeights

public void adjustDeltaWeights(float[] expectedOutput,
                               FeedForwardLayer previousLayer)

Calculates and adds the delta weights for this pattern

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adjustDeltaWeights

public void adjustDeltaWeights(FeedForwardLayer previousLayer,
                               FeedForwardWeightedTrainingLayer nextLayer)

Calculates and adds the delta weights for this pattern

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resetError

public void resetError()

Sets the error of all this layer to 0

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getError

public float[] getError()

returns the error of the layer

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getOutputError

public float[] getOutputError()

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addDeltaWeights

public void addDeltaWeights(float learningRate)

Adds the deltaWeights to the weights

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Overview  Package   Class  Use  Deprecated  Index
Home >> All >> AI >> [ NeuralNetworks overview ]	PREV CLASS  NEXT CLASS
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